t指数{Frechet}族分布:理论与应用

Odom Conleth Chinazom, Nduka Ethelbert Chinaka, I. M. Azubuike
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引用次数: 0

摘要

本文介绍了一类新的广义指数分布。利用T-R{Y}框架,提出了一种新的t指数{Y}分布族,称为t指数{Frechet}分布族。讨论了该类的一些一般性质,如危险率函数、分位数函数、非中心矩、模态、平均绝对偏差和香农熵。介绍了一种新的连续单变量概率分布,它是t指数{Frechet}分布族中的一员。从族的一般性质出发,导出了新分布的一些特殊性质的表达式。为了证明t指数指数{Frechet}族分布的有用性,我们将新分布拟合到两个实际数据集上,并将结果与其他一些现有分布的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The T-Exponentiated Exponential{Frechet} Family of Distributions: Theory and Applications
This article introduces a new family of Generalized Exponentiated Exponential distribution. Using the T-R{Y} framework, a new family of T-Exponentiated Exponential{Y} distributions named T-Exponentiated Exponential{Frechet} family of distributions is proposed. Some general properties of the family such as hazard rate function, quantile function, non-central moment, mode, mean absolute deviations and Shannon’s entropy are discussed. A new continuous univariate probability distribution which is a member of the T-Exponentiated Exponential{Frechet} family of distributions is introduced. From the general properties of the family, expressions are derived for some specific properties of the new distribution. To show the usefulness of the T-Exponentiated Exponential{Frechet} family of distributions, the new distribution is fitted to two real life data sets and the results are compared with the results of some other existing distributions.
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